Morpho-physiological screenings and molecular analysis of west sumatra rice genotypes under submergence stress

Author:

Pohan Selvia DewiORCID,Sukiran Noor LiyanaORCID,Jamsari JamsariORCID,Abd Aziz Shamsudin NoraziyahORCID

Abstract

This study investigates the submergence tolerance level of 14 rice genotypes by morpho-physiological and molecular analyses of Sub1 alleles. IR64-Sub1 was used as a submergence tolerant check. The submergence screenings were conducted by submerging 14-days-old seedlings in water tanks for 14 days while molecular analysis was conducted using 14 Sub1 linked markers. The results showed that 5 tested genotypes, namely Inpari 48 Blas, Mundam Putiah, Batang Piaman, Banang Pulau and Pulau Sijunjung, recorded high survival rates (SR) of 80% to 100% under submergence stress. PCR-based identification of the Sub1 alleles confirmed that several tested genotypes carry Sub1A and Sub1C, but not all were expressed in their phenotypic performance towards submergence. IR64-Sub1 and Batang Piaman not only showed well-adaptation towards submergence by maintaining lower elongation (<20%) and less chlorophyll content change (TCC) (<30%) but were also equipped with the Sub1A allele. These genotypes potentially provide good phenotypic and genotypic performance under submergence stress conditions. Additionally, based on population structure analysis, these genotypes were grouped into 3 clusters, of which 35.71% are pure accessions, while the remaining 64.29% have admixture ancestry between populations 1, 2 and 3. The data in model-based population structure and UPGMA dendrogram supported that rice genotypes in this study have 3 well-differentiated genetic populations and admixtures. Most genotypes have a close genetic relationship with Nei’s similarity index ranging from 0.571 to 0.893.

Publisher

Horizon E-Publishing Group

Subject

Plant Science,Biochemistry, Genetics and Molecular Biology (miscellaneous),Ecology,Ecology, Evolution, Behavior and Systematics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3